Neuralink Logo

Neuralink

Hardware/ Software Co-Design Engineer

Reposted 14 Days Ago
Be an Early Applicant
In-Office
Austin, TX, USA
151K-261K Annually
Mid level
In-Office
Austin, TX, USA
151K-261K Annually
Mid level
Design and implement micro-architecture and RTL for low-power DSPs and hardware accelerators, optimize hardware/software interfaces, model and profile energy/performance trade-offs, collaborate on silicon bring-up and verification, and develop emulation models and test environments.
The summary above was generated by AI

About Neuralink:

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.

Team Description: 

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. 

Job Description & Responsibilities: 

Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

  • Micro-architecture design and RTL implementation of: 
    • Low-power digital signal processors
    • Low-power general-purpose hardware accelerators
    • Low-power graphics processing units
    • Low-power radio MAC/PHY
    • Low-power serial link MAC/PHY
  • Design and optimization of hardware/software interface with firmware engineers
  • Application-specific architecture optimization including:
    • Complex system modeling for energy and performance benchmarks
    • Workload analysis and modeling
    • Energy/performance profiling and analysis
    • Leveraging architecture-level design trade-offs with process technology and workload type
    • Balancing cost and performance under manufacturing process variation 
  • Collaboration on silicon bring-up tests with verification engineers 

Required Qualifications:

  • Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
  • Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
  • Experience designing and implementing embedded software in C or Rust
  • Expertise in SystemVerilog, C/C++, Python
  • Experience designing and implementing  emulation models, transactors, and test environments to replicate hardware behavior
  • Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
  • Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications: 

  • Experience in architecture optimization with process technology customization
  • Experience in the verification of complex digital systems, using industry standard tools
  • Experience in the physical design of complex digital systems, using industry standard tools
  • Experience testing and debugging digital system-on-a-chips
  • Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
  • Experience automating tool flows
  • Experience in processor instruction set architecture design
  • Experience in compiler back-end design and customization

Expected Compensation:

The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.

Base Salary Range:
$151,000$261,000 USD

What We Offer:

Full-time employees are eligible for the following benefits listed below.

  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

Similar Jobs

36 Minutes Ago
Remote or Hybrid
60K-80K Annually
Mid level
60K-80K Annually
Mid level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Manage and adapt implementation projects, lead setup/configuration and troubleshooting, own customer communication, build trust-based relationships, translate technical details for customers, act as product SME for complex multi-system implementations and coordinate cross-functional teams for smooth handoffs.
Top Skills: MS Office
2 Hours Ago
Hybrid
77K-202K Annually
Junior
77K-202K Annually
Junior
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, build, test, and deploy cloud-native full‑stack applications and APIs. Implement CI/CD and GitOps pipelines, manage containers and registries, deploy LLM/AI APIs securely, perform code reviews, troubleshoot production issues, and collaborate with clients and cross-functional teams to translate business requirements into technical solutions.
Top Skills: Ai ApisAPIsAWSAzureCi/CdContainer ImagesContainer RegistriesGCPGitopsJavaScriptLlmManaged Container ServicesMicroservicesNext.JsNode.jsReact NativeTypescript
2 Hours Ago
Remote or Hybrid
Austin, TX, USA
212K-244K Annually
Mid level
212K-244K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead selection, implementation, and administration of marketing and sales technologies to drive growth and customer engagement. Manage and coach a team, execute digital marketing and creative campaigns, optimize marketing automation and Salesforce analytics, ensure data quality and validation, and partner with stakeholders to improve processes and deliverables from planning through completion.
Top Skills: Adobe Data CollectionAdobe Experience Manager (Aem)Adobe Martech PlatformsAnalytics InstrumentationCdpCRMDom ManipulationHTMLJavaScriptMarketing AutomationSalesforce Crm AnalyticsSalesforce Marketing CloudTypescriptWeb Sdk

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account